Leibniz Institute
The Leibniz Institute for Prevention Research and Epidemiology – BIPS is dedicated to health research with a focus on epidemiology, prevention, and health promotion. It conducts scientific studies, develops innovative public health interventions, and collaborates internationally to improve health outcomes and disease prevention strategies. The institute actively investigates social determinants of health, health inequalities, and behavioral factors affecting health, with a strong emphasis on methodological development, data infrastructure, and interdisciplinary collaboration to inform effective health policies and interventions.
Industries
Nr. of Employees
medium (51-250)
Leibniz Institute
Products
Biobank infrastructure
Curated biorepository and biosample resources linked to cohort and study metadata to support epidemiological and molecular analyses.
Modular study management and documentation platform
Software platform for study steering, participant recruitment, monitoring and documentation of multicentre field studies, with modules for computer-assisted interviewing and study control.
Research data infrastructure and governed data transfer service
Infrastructure for curation, storage and FAIR-compliant provision of research datasets and a formal data transfer service enabling governed external access to prepared datasets.
Open-source statistical software packages for machine learning and survival analysis
Collection of publicly available software packages implementing tree-based machine learning, interpretable ML tools, survival-model explainers and generative/tree-based modelling methods for applied epidemiological research.
Interactive dashboards and metadata catalogue
Tools and dashboards to visualise research data holdings, monitor study progress and provide a searchable metadata catalogue to improve findability and interoperability of study datasets.
Web-based risk-assessment tool for metabolic syndrome (pediatric)
Online tool for rapid risk estimation of metabolic syndrome in children used for screening and population-health assessment.
Biobank infrastructure
Curated biorepository and biosample resources linked to cohort and study metadata to support epidemiological and molecular analyses.
Modular study management and documentation platform
Software platform for study steering, participant recruitment, monitoring and documentation of multicentre field studies, with modules for computer-assisted interviewing and study control.
Research data infrastructure and governed data transfer service
Infrastructure for curation, storage and FAIR-compliant provision of research datasets and a formal data transfer service enabling governed external access to prepared datasets.
Open-source statistical software packages for machine learning and survival analysis
Collection of publicly available software packages implementing tree-based machine learning, interpretable ML tools, survival-model explainers and generative/tree-based modelling methods for applied epidemiological research.
Interactive dashboards and metadata catalogue
Tools and dashboards to visualise research data holdings, monitor study progress and provide a searchable metadata catalogue to improve findability and interoperability of study datasets.
Web-based risk-assessment tool for metabolic syndrome (pediatric)
Online tool for rapid risk estimation of metabolic syndrome in children used for screening and population-health assessment.
Services
Design of epidemiological studies, methodological planning, sample-size and statistical advice, instrument development and operational planning for data collection and analysis.
Operational management of primary data collection including computer-assisted and telephone interviews, anthropometric measurements, biosample collection and logistics for large-scale and multilingual studies.
Data curation, validation routines, medical coding, FAIR-aligned data preparation and operation of a secure data transfer service for external researcher access.
Provision of advanced biostatistical analyses, causal-effect estimation (including target-trial emulation), time-to-event modelling and machine-learning based predictive and inferential workflows.
Access, curation and analysis of large claims databases and registries and technical support for record linkage projects and multi-source dataset integration.
Provision and management of biosamples and associated metadata to support epidemiological and molecular research, including integration with cohort data.
Design of epidemiological studies, methodological planning, sample-size and statistical advice, instrument development and operational planning for data collection and analysis.
Operational management of primary data collection including computer-assisted and telephone interviews, anthropometric measurements, biosample collection and logistics for large-scale and multilingual studies.
Data curation, validation routines, medical coding, FAIR-aligned data preparation and operation of a secure data transfer service for external researcher access.
Provision of advanced biostatistical analyses, causal-effect estimation (including target-trial emulation), time-to-event modelling and machine-learning based predictive and inferential workflows.
Access, curation and analysis of large claims databases and registries and technical support for record linkage projects and multi-source dataset integration.
Provision and management of biosamples and associated metadata to support epidemiological and molecular research, including integration with cohort data.
Expertise Areas
- Epidemiological study design and fieldwork
- Pharmacoepidemiology and post-approval safety using routine data
- Clinical and cancer epidemiology with registry linkage
- Biostatistics, causal inference and target-trial emulation
Key Technologies
- Claims and registry data linkage
- FAIR-compliant research data infrastructure
- Modular study management software for field studies
- Wearable sensor data acquisition and accelerometry
News & Updates
The institute was successfully evaluated, motivating continued efforts for a healthier society.
The NFDI4Health team received approval for the second phase of funding, supporting health data infrastructure.
Research confirms that participation in mammography screening significantly lowers breast cancer death rates.
The institute is actively involved in shaping a healthier and more sustainable diet in Bremen.
The institute was successfully evaluated, motivating continued efforts for a healthier society.
The NFDI4Health team received approval for the second phase of funding, supporting health data infrastructure.
Research confirms that participation in mammography screening significantly lowers breast cancer death rates.
The institute is actively involved in shaping a healthier and more sustainable diet in Bremen.